3 papers
stat.ML2021
Neural Networks for Latent Budget Analysis of Compositional Data
Zhenwei Yang, Ayoub Bagheri, P. G. M van der Heijden
Compositional data are non-negative data collected in a rectangular matrix with a constant row sum. Due to the non-negativity the focus is on conditional proportions that add up to…
cs.LG2020
Multimodal Learning for Cardiovascular Risk Prediction using EHR Data
Ayoub Bagheri, T. Katrien J. Groenhof, Wouter B. Veldhuis +3
Electronic health records (EHRs) contain structured and unstructured data of significant clinical and research value. Various machine learning approaches have been developed to emp…
stat.ML2020
Fair inference on error-prone outcomes
Laura Boeschoten, Erik-Jan van Kesteren, Ayoub Bagheri +1
Fair inference in supervised learning is an important and active area of research, yielding a range of useful methods to assess and account for fairness criteria when predicting gr…